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Postgraduate Medicine Volume 134, 2022 - Issue 7
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Clinical Features - Original Research

Prediction of the severity of acute pancreatitis using machine learning models

You Zhoua Pancreatic Center, Department of Gastroenterology, Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, Jiangsu, China;b Yangzhou Key Laboratory of Pancreatic Disease, Institute of Digestive Diseases, Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, Jiangsu, ChinaORCID Iconhttps://orcid.org/0000-0002-1352-0211View further author information
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Fei Hana Pancreatic Center, Department of Gastroenterology, Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, Jiangsu, China;b Yangzhou Key Laboratory of Pancreatic Disease, Institute of Digestive Diseases, Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, Jiangsu, ChinaORCID Iconhttps://orcid.org/0000-0003-3914-1073View further author information
ORCID Icon,
Xiao-Lei Shia Pancreatic Center, Department of Gastroenterology, Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, Jiangsu, China;b Yangzhou Key Laboratory of Pancreatic Disease, Institute of Digestive Diseases, Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, Jiangsu, ChinaORCID Iconhttps://orcid.org/0000-0001-7617-4881View further author information
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Jun-Xian Zhanga Pancreatic Center, Department of Gastroenterology, Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, Jiangsu, China;b Yangzhou Key Laboratory of Pancreatic Disease, Institute of Digestive Diseases, Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, Jiangsu, ChinaORCID Iconhttps://orcid.org/0000-0003-4725-1854View further author information
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Guang-Yao Lia Pancreatic Center, Department of Gastroenterology, Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, Jiangsu, China;b Yangzhou Key Laboratory of Pancreatic Disease, Institute of Digestive Diseases, Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, Jiangsu, ChinaORCID Iconhttps://orcid.org/0000-0002-0067-7391View further author information
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Chen-Chen Yuana Pancreatic Center, Department of Gastroenterology, Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, Jiangsu, China;b Yangzhou Key Laboratory of Pancreatic Disease, Institute of Digestive Diseases, Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, Jiangsu, ChinaORCID Iconhttps://orcid.org/0000-0002-0551-0718View further author information
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Guo-Tao Lua Pancreatic Center, Department of Gastroenterology, Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, Jiangsu, China;b Yangzhou Key Laboratory of Pancreatic Disease, Institute of Digestive Diseases, Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, Jiangsu, ChinaORCID Iconhttps://orcid.org/0000-0002-8325-0405View further author information
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Liang-Hao Huc Department of Gastroenterology, First Affiliated Hospital of Naval Medical University, Shanghai, ChinaORCID Iconhttps://orcid.org/0000-0001-7535-7475View further author information
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Jia-Jia Panb Yangzhou Key Laboratory of Pancreatic Disease, Institute of Digestive Diseases, Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, Jiangsu, China;d Department of Intensive Care Unit, Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, Jiangsu, ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-4055-4131View further author information
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Wei-Ming Xiaoa Pancreatic Center, Department of Gastroenterology, Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, Jiangsu, China;b Yangzhou Key Laboratory of Pancreatic Disease, Institute of Digestive Diseases, Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, Jiangsu, ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-8893-9076View further author information
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Guang-Huai Yaoa Pancreatic Center, Department of Gastroenterology, Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, Jiangsu, China;b Yangzhou Key Laboratory of Pancreatic Disease, Institute of Digestive Diseases, Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, Jiangsu, ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-3055-3787View further author information
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Pages 703-710 | Received 27 Feb 2022, Accepted 07 Jun 2022, Published online: 12 Jul 2022

Figures & data

Table 1. The characteristics of the patients.

Table 2. Patients’ characteristics on the training and testing sets.

Figure 1. The receiver operating curves for five predictive models.

Figure 1. The receiver operating curves for five predictive models.

Table 3. The performance of five machine learning models.

Table 4. The rank of top six predictors in LR, RF, and XGBoost.

Supplemental material

Supplemental Material

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Data availability statement

The datasets used and analyzed during the current study are available from the corresponding author on reasonable request.

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